Researcher Uses Codex and ChatGPT to Find New Antimicrobial Molecules
AI antimicrobial discovery speeds the search for new drugs against resistance See how deep learning and lab testing combine to find safer, promising molecules
A researcher and his lab are using AI tools to help search for new antimicrobial molecules that could one day fight drugresistant infections. The work, led by César de la Fuente, focuses on genomes and protein sequences from living and extinct organisms to identify candidates faster than traditional methods.
The article says drugresistant microbes remain a major global health threat and that finding new antimicrobials can take years. De la Fuente’s team uses deeplearning models, along with ChatGPT and Codex, to brainstorm ideas, write code, process large datasets, and analyze results across biology, chemistry, computer science, and engineering.
The lab stresses that AI is only one part of the process. Promising molecules still need laboratory testing to confirm activity, safety, manufacturability, and effectiveness before they can move toward clinical trials and approval.